{"title":"Development and validation of the infodemic scale.","authors":"Ayla Hendekci,Ayşegül Sarıoğlu Kemer","doi":"10.1080/17538157.2024.2398996","DOIUrl":null,"url":null,"abstract":"Infodemic is closely related to all healthcare professionals. Nurses take the lead in health professions that spend a long time with the society and try to present accurate information due to their roles. Infodemic is the massive spread of false or unreliable information in times of crisis. This study aims to develop a valid and reliable tool that identifies individuals' approaches to infodemic. This study was methodological. The sample consisted of 504 people (N = 504). Data were collected using the Information Form and the Infodemic Scale. The sample was divided into two for the explanatory factor analysis (EFA) and the confirmatory factor analysis (CFA). The scale was developed using the scale development process in health and social research, which consists of three steps. The EFA revealed 14 items under two factors, which are awareness and literacy. Item factor loadings were found to range between 0.334 and 0.907. The CFA confirmed the two-factor scale structure. The total Cronbach's alpha of the scale was 0.87, and the composite reliability value was 0.89. The intra-class correlation coefficient (ICC) value was found to be 0.857. According to psychometric evaluations, the Infodemic Scale is a valid and reliable instrument that can make consistent measurements.","PeriodicalId":54984,"journal":{"name":"Informatics for Health & Social Care","volume":"29 1","pages":"1-9"},"PeriodicalIF":2.5000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Informatics for Health & Social Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/17538157.2024.2398996","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Infodemic is closely related to all healthcare professionals. Nurses take the lead in health professions that spend a long time with the society and try to present accurate information due to their roles. Infodemic is the massive spread of false or unreliable information in times of crisis. This study aims to develop a valid and reliable tool that identifies individuals' approaches to infodemic. This study was methodological. The sample consisted of 504 people (N = 504). Data were collected using the Information Form and the Infodemic Scale. The sample was divided into two for the explanatory factor analysis (EFA) and the confirmatory factor analysis (CFA). The scale was developed using the scale development process in health and social research, which consists of three steps. The EFA revealed 14 items under two factors, which are awareness and literacy. Item factor loadings were found to range between 0.334 and 0.907. The CFA confirmed the two-factor scale structure. The total Cronbach's alpha of the scale was 0.87, and the composite reliability value was 0.89. The intra-class correlation coefficient (ICC) value was found to be 0.857. According to psychometric evaluations, the Infodemic Scale is a valid and reliable instrument that can make consistent measurements.
期刊介绍：
Informatics for Health & Social Care promotes evidence-based informatics as applied to the domain of health and social care. It showcases informatics research and practice within the many and diverse contexts of care; it takes personal information, both its direct and indirect use, as its central focus.
The scope of the Journal is broad, encompassing both the properties of care information and the life-cycle of associated information systems.
Consideration of the properties of care information will necessarily include the data itself, its representation, structure, and associated processes, as well as the context of its use, highlighting the related communication, computational, cognitive, social and ethical aspects.
Consideration of the life-cycle of care information systems includes full range from requirements, specifications, theoretical models and conceptual design through to sustainable implementations, and the valuation of impacts. Empirical evidence experiences related to implementation are particularly welcome.
Informatics in Health & Social Care seeks to consolidate and add to the core knowledge within the disciplines of Health and Social Care Informatics. The Journal therefore welcomes scientific papers, case studies and literature reviews. Examples of novel approaches are particularly welcome. Articles might, for example, show how care data is collected and transformed into useful and usable information, how informatics research is translated into practice, how specific results can be generalised, or perhaps provide case studies that facilitate learning from experience.
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